ThroughPut

MARCH 27, 2024

Every decision was based on data generated and analyzed by humans. While on one hand, predictive analytics analyzes historical data and market trends for accurate demand forecasting, on the other, customers are being offered personalized experiences based on their preferences, purchase history and behavior.

Case Study 52

Case Study Waste Reduction Inventory Reduction Price Reduction 52

Supply Chain Shaman

JULY 30, 2022

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”

Supply Chain Design Software 195

Supply Chain Design Software Supply and Demand Supply Chain Planning Software Data 195

Logistics Viewpoints

JUNE 29, 2021

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

Quality 243

Quality Supply Chain Design Software Supply Chain Planning Software Data 243

Freightos

APRIL 27, 2023

In this article, Eytan Buchman, Freightos’ CMO, discusses the importance of data and context in global freight and logistics. The future of global freight data lies in real-time information, contextual insights, and aggregated data that can help companies make better decisions and adapt to a rapidly changing industry.

Freight 156

Freight Data Prescriptive Analytics Software Negotiating Skills 156

SCMDOJO

APRIL 22, 2022

The ability to convey and analyze data in several languages and across cultures is necessary. The ability to manage a computerized data system. For example, the length of a logistics CV should not exceed 2 pages as a general rule. For example, consider using a bright backdrop color instead of a dark one.

Examples 120

Examples Negotiating Skills Buyer Training Purchasing Training 120

Unleashed

MAY 1, 2023

It helps purchase managers determine the optimal reorder and safety stock levels based on historical company data. Here’s an example of how a stock control chart might save you money: You discover that a product is selling faster in winter, and your suppliers are also taking longer to deliver during those months.

Inventory Reduction 52

Inventory Reduction Examples Inventory Inventory Management Software 52

Unleashed

JULY 12, 2023

Inventory examples Inventory is used widely across numerous industries and sectors. It can mean different things to different organisations, so let’s look at some common inventory examples in various business models. Retail inventory Retail is one of the hardest sectors for getting the balance of inventory right.

Inventory Reduction 52

Inventory Reduction Examples Inventory Material Savings 52

Supply Chain Trend

JANUARY 29, 2024

“Companies with flaky master data would be wise to cleaning that up first before embarking on DI.”, I surely agree, data is absolutely important when implementing technology. I think these examples are actually great because it shows the human will (almost) always need to be involved. What data needs improved quality?

Data 60

Data Supply Chain Software Analytics Software Predictive Analytics Software 60

Unleashed

MARCH 2, 2022

Here we give you eight real-world examples of how businesses use Kanban, a popular lean tool that’s helped companies in a huge range of sectors improve efficiency – especially those in the manufacturing industry. Don’t worry if you’re not familiar with what Kanban is – we’ll give you the basics first.

Manufacturing Procurement 98

Manufacturing Procurement Agile and Lean Supply Chain Lean Examples 98

Unleashed

FEBRUARY 14, 2023

For example, using an overhead crane to move a heavy object minimises the risk of back injury caused by humans carrying it across the factory instead. Improved ability to gather and analyse data. Automating tasks means data is more easily collected and can be analysed for future improvements.

Supply Chain Software 52

Supply Chain Software Inventory Management Software Supply Chain Design Software Examples 52

Unleashed

JUNE 15, 2023

Cost of goods sold formula You can calculate COGS using the formula: Opening Inventory + Purchases + Production Costs – Closing Inventory = Cost of Goods Sold You might be thinking, it’s all good and fine to have a formula for COGS but how do I determine the data inputs needed to make it work? Don’t worry, we’ve got you covered.

Purchasing Skills 52

Purchasing Skills Negotiating Skills Examples Cost Reduction Strategies 52

SYSPRO Smarter ERP

MARCH 28, 2024

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

Manufacturing Procurement 52

Manufacturing Procurement Supply Chain Planning Software Optimal Sourcing Optimization Software 52

Enterra Insights

OCTOBER 20, 2022

Nowadays, few people question the value of data. Yossi Sheffi ( @YossiSheffi ), Director of the MIT Center for Transportation & Logistics, goes so far as to assert data is an organization’s most valuable asset. Today, it’s not people but data that tops the asset value list for companies.”[1] For example, Julius ?erniauskas

Big Data 130

Big Data Data Quality Cost Reduction Strategies 130

Clear Spider

OCTOBER 26, 2022

Therefore, when the vendor is equipped with better inventory data, they can make key decisions that eliminate stockouts while also reducing safety stock levels. An emphasis on data-sharing between vendors and customers increases visibility and makes data analytics more powerful. The Problem with Sales Data.

Vendor Strategies 52

Vendor Strategies Inventory Reduction Examples Cost Reduction Strategies 52

The Logistics of Logistics

JULY 27, 2021

Killing Ghost Loads and Phantom Data with Michael Darden. Michael Darden and Joe Lynch discuss killing ghost loads and phantom data. Michael is the CEO of DFM Data Corp, a utility company designed to be a tool between digital partners moving freight in the USA and Canada. About DFM Data Corp. DFM Data Corp.

Logistics Network Optimization Software 130

Logistics Network Optimization Software Supply Chain Network Software Supply Chain Design Software Supply Chain Planning Software 130

Enterra Insights

MAY 6, 2021

In the area of big data, geological features are often used to depict the enormity of the data involved. ” Alexandrov and Vesselinov write, “A seemingly bottomless ocean of ‘big data’ has flooded our world. The features that SmartTensors extracts are explainable and understandable chunks of data.”

Prescriptive Analytics Software 130

Prescriptive Analytics Software Analytics Software Data Supply Chain Network Software 130

Arkieva

AUGUST 17, 2021

How Forecastable is Your Data? If used correctly, it can provide better margins, increase market shares, and many other positive results. At a more tactical level, it can help reduce the costs associated with meeting the customer demand and make the supply chain more efficient. was first posted on August 17, 2021 at 8:05 am.

Forecasting 157

Forecasting Data Supply and Demand Modeling 157

Unleashed

NOVEMBER 2, 2023

Identify opportunities – Addressing inefficiencies also provides the data you need to find opportunities for optimisation. The production schedule example below demonstrates how the latter might look: As you can see, specific cells from each row have been blocked out.

Manufacturing Procurement 52

Manufacturing Procurement Examples Sourcing Strategies Supply Chain Planning Software 52

Arkieva

MAY 20, 2020

An often-heard theme in supply chain management (SCM) and COVID-19 is “data-driven” – being data-driven is the path to success. This blog will point out a few examples in the COVID-19 challenge demonstrating COVID-19 is an OM challenge. For COVID-19 “science-driven” is often said in the same sentence.

SCM 146

SCM Data Modeling Supply Chain Software 146

Logility

MARCH 21, 2024

Myth 2: Generative AI is unable to keep your data private One of our top concerns is that clients have complete confidence that their data is safe and secure. It can learn faster than humans and is trained to process and analyze huge amounts of information based on training data, algorithms, and statistical models.

Optimal Sourcing 226

Optimal Sourcing Supply Chain Planning Software Modeling Software Inventory Reduction 226

Logility

JANUARY 12, 2021

You’re committed to rolling out an analytics platform across your supply chain and you have tons of data. So how do you turn that data into actionable information? There is a continuum in terms of the presentation of data that allows for continuous sophistication in understanding and interpreting data. Benchmarking.

Prescriptive Analytics Software 131

Prescriptive Analytics Software Supply Chain Planning Software Analytics Software Predictive Analytics Software 131

QAD

JUNE 23, 2020

Today, I am going to introduce the fifth element of disruption – data monetization – and explain the impact that it will have on the supplier model. This automotive supplier business model is evolving quickly from just software to data that can be monetized and has the potential to create significant competitive barriers.

Automotive 140

Automotive Modeling Software Supply Chain Design Software Supply Chain Planning Software 140

ToolsGroup

MARCH 3, 2022

Let’s face it: the influence of weather on your consumers’ behavior is complex and nuanced, and temperature or precipitation data is easily misinterpreted and misused. Using weather data for retail forecasting starts with measuring the impact of weather for specific items, time period, and locations. based on the sales theme.

Forecasting 156

Forecasting Forecasting Software Procurement Analytics Retail 156

LevaData

MAY 16, 2022

But there is a way—once procurement and sourcing move away from enterprise-specific systems and onto multi-enterprise shared marketplaces that connect buyers and sellers and against which smart data analytics and AI can be thrown. Take, for example, pricing. Pooling data at scale makes obvious good sense.

Purchasing Skills 80

Purchasing Skills Negotiate Pricing Negotiating Skills Price Reduction 80

Logistics Viewpoints

MARCH 27, 2024

Examples of Supply Chain Robots at MODEX 2024 Several exhibitors at MODEX 2024 showcased their innovative solutions for supply chain robotics, demonstrating the diversity and potential of this field. Here are some of the examples that caught our attention.

Analytics Software 214

Analytics Software Predictive Analytics Software Optimization Software Supply Chain Network Software 214

Kinaxis

APRIL 4, 2019

Data first. Although getting a new drug to market has its unique challenges compared to the source, make and deliver part of the life sciences supply chain equation, there is one thing those of us in supply chain have in common with our R&D counterparts, we all need clean data. The prerequisite for that though is clean data.

Pharmaceutical 249

Pharmaceutical Supply Chain Planning Software Supply Chain Software Supply Chain Planning 249

BlueYonder

AUGUST 28, 2023

Data: A Challenge and an Opportunity Today’s digitally connected world means that companies have access to enormous volumes of near real-time data that can help them manage their end-to-end supply chains profitably and precisely, despite uncertainty. They can anticipate these events and resolve them proactively, instead of reactively.

Optimal Sourcing 70

Optimal Sourcing Data Inventory Management Software Analytics Software 70

Supply Chain Matters

APRIL 18, 2022

Augusti further indicated to WSJ CIO Journal that the company’s data science teams, having previously dedicated 18 months addressing the collection of high-quality data will now be focused on solving and providing insights to product demand management processes. Additional Insights. Bob Ferrari. All rights reserved. .

Modeling 52

Modeling Apparel Modeling Software Supply Chain Planning Software 52

Logistics Viewpoints

APRIL 4, 2024

Data Normalization & Removing Bias Data normalization in the context of forecasting is the process of going from actualized sales, which may be biased by various factors such as weather or inventory availability, to an understanding of baseline demand that is stripped of the impacts of these demand drivers.

Supply and Demand 229

Supply and Demand Modeling Demand Planning Scenario Planning 229

Supply Chain Game Changer

FEBRUARY 17, 2022

What is Big Data? Data and data science has always been a great asset to businesses for years. As data increases with technological advancement, traditional data collection tools and methods are becoming ineffective in making sense of the available data. Making Data Work for You. Forecasting.

Supply Chain Software 88

Supply Chain Software Data Supply Chain Strategy Predictive Analytics Software 88